[Accuracy of winter wheat identification based on multi-temporal CBERS-02 images].
Ying Yong Sheng Tai Xue Bao
; 19(10): 2201-8, 2008 Oct.
Article
en Zh
| MEDLINE
| ID: mdl-19123356
ABSTRACT
Chinese-Brazil Earth Resources Satellite No. 2 (CBERS-02) has good spatial resolution and abundant spectral information, and a strong ability in detecting vegetation. Based on five CBERS-02 images in winter wheat growth season, the spectral distance between winter wheat and other ground targets was calculated, and then, winter wheat was classified from each individual image or their combinations by using supervised classification. The train and validation samples were derived from high resolution Aerial Images and SPOT5 images. The accuracies and analyses were evaluated for CBERS-02 images at early growth stages, and the results were compared to those of TM images acquired in the same phenological calendars. The results showed that temporal information was the main factor affecting the classification accuracy in winter wheat, but the characteristics of different sensors could affect the classification accuracy. The multi-temporal images could improve the classification accuracy, compared with the results derived from signal stage, with the producer accuracy of optimum periods combination improved 20.0% and user accuracy improved 7.83%. Compared with TM sensor, the classification accuracy from CBERS-02 was a little lower.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Triticum
/
Comunicaciones por Satélite
/
Sistemas de Información Geográfica
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
País/Región como asunto:
Asia
Idioma:
Zh
Revista:
Ying Yong Sheng Tai Xue Bao
Asunto de la revista:
SAUDE AMBIENTAL
Año:
2008
Tipo del documento:
Article
País de afiliación:
China